Big Data Analytics, Connected Vehicles and Smart Cities. Bob McQueen, Kyra Solutions

Transcription

1 Big Data Analytics, Connected Vehicles and Smart Cities Bob McQueen, Kyra Solutions 1

2 Topics What is a smart city? The importance of transportation in a smart city What is Big data? What are big data analytics? The value of big data analytics in transportation Getting what you want from big data analytics: Use Cases Smart Data Management and how to get there Benefit and cost approach 2

3 What is a Smart City? Wider than transportation Disproportionate importance of transportation A range of transportation services Connectivity Alignment between modes Optimization of transportation services Matching supply and demand through variations over time Monitoring, managing, and learning 3

4 What is a Smart City? Energy Smart Buildings Smart healthcare Smart education Smart retail Utilities Manufacturing Urban Agriculture Transportation 4

5 Transportation in Smart Cities Energy: 28% of US energy used for transportation Smart Buildings to live and work: accessibility Smart healthcare : accessibility Smart education : accessibility Smart retail : accessibility Manufacturing: : accessibility Utilities: EV charging, sensor sharing Urban Agriculture: farm to table chain Transportation: mobility, accessibility, safety, efficiency, user experience CPA-I_001-v2_Anatomy City Anatomy: A Framework to support City Governance, Evaluation and Transformation Developed by Task Team - ancha 6 November

6 Transportation in Smart Cities Smart: Connected and autonomous vehicles Asset and maintenance management Connected Vehicle Connected, involved citizens Integrated electronic payment Fee payment Sensors Infrastructure Intelligent sensor-based infrastructure Low cost efficient, secure and resilient ICT Smart grid, roadway electrific n and electric vehicle Smart land use Probes Communications Fiber Strategic business models and partnering Transportation governance Transportation management Traveler information Wireless V to X Transportation management Traffic signals Freeway Urban analytics Urban automation Urban delivery and logistics User focused mobility Transit Freight non-motorized Traveler information 6

7 Transportation as a Single System What is a system? It has clarity of purpose It is connected together We can find out its status at any given time It can adapt to changes in the environment Single system also includes alignment between planning, design, project delivery, operations, and maintenance Paraphrased from the speech by Samuel J. Palmisano, Intelligent Transportation Society of America, 2010 Annual Meeting & Conference, Houston, Texas, May 5,

8 Connected and Autonomous Vehicles The Internet of Things Cities will roll out more autonomous vehicles over the next five years, including First mile last mile shuttles Electric vehicles will outnumber gas powered cars in the next 15 years Crowdsourced ride-sharing services will go global (Mobility as a Service) Vehicles will connect to transportation systems, Ford says it will equip 20 million cars with built-in modems over five years City managers will have new operating systems to manage transportation, data will be integrated from multiple endpoints. 8

9 Big Data Aspects 2013 Ford Fusion Energi Hybrid 145 actuators 4716 signals 74 sensors More than 70 onboard computers 25 GB of data per hour 2 ZB of data every year nationally Tidal wave of data Will we get access to it? Do we need it all? 9

10 What is Big Data? Type Volume Velocity Variety Variability Complexity Veracity New Analytics: graph and path analytics, and analytics on new, non-relational data types (coupled with existing relational data) Tools: uncover insights from data such as text in accident reports, or patterns in visuals, to quickly find the signal in the noise Economics: retain, do not throw away signal timings, speed, flow and occupancy data, by leveraging hot and cold data storage Architecture: hybrid ecosystem that allows both old and new tools and enables rapid discovery analytics on new data Not New Most big data use cases are variations on: Safety, Efficiency User experience questions that public service agencies have been addressing for years 10

11 Workload Complexity Towards Automation Growth in Query complexity, Workload mixture, Depth of history, Number of users, Expectations Database Requirement: Analytic foundation must handle multidimensional growth! REPORTING Historical Performance Reporting ANALYZING Mechanisms related to transportation demand and supply PREDICTING Future Transportation Demand and Supply OPERATIONALIZING Applying insights to transportation operations ACTIVATING Automated transportation back office Eventbased Triggering Batch Ad Hoc Continuous Update/Short Queries Analytics Primarily batch and some ad hoc reports Increase in ad hoc analysis Analytical modeling grows Continuous update and time-sensitive queries become important Event-based triggering takes hold Single View of Transportation Better, Faster Decisions Drive Safety, Efficiency, User Experience Data Sophistication 11

12 What are Big Data Analytics? Services Asset and maintenance management Connected vehicle Connected, involved citizens Integrated electronic payment Intelligent sensor-based infrastructure Low cost efficient, secure and resilient ICT Smart grid, roadway electrification and electric vehicle Smart land-use Strategic business models and partnering Transportation governance Transportation management Traveler information Urban analytics Urban automation Urban delivery and logistics User focused mobility Analytics Asset performance index, asset maintenance standards compliance measure, optimal intervention point analytic Lane changes per mile, steering angle compared to road geometry, brake applications per mile, driving turbulence index, minutes per trip, trip time reliability index, no of stops per trip Citizens awareness levels index, citizens satisfaction levels Transit revenue per passenger, transit seat utilization, toll revenue per vehicle and per trip, premium customer identification index, parking revenue per slot, payment system revenue achieved compared to forecast and addressable market Data quality index, transportation conditions index, trip time variability index Network load compared to capacity index, network latency, cost of data transfer, network security index Electric vehicle charging points per mile, electric vehicle charging points per head of population, number of electric vehicles as a percentage of the total fleet, electric vehicle miles per day, electric vehicle miles per trip, electric vehicle miles between charges Observed trip generation rates for different land uses, observed actual trips between zones, land value transportation index, zone accessibility index Percentage of private sector investment, number of partnerships, improvement in service delivery for each private sector dollar invested Transportation efficiency for each dollar spent, supply and demand matching index, transportation agency coordination index, partnership cost-saving index, cost of data storage and manipulation compared to services provided Mobility index, citywide job accessibility index, citywide transportation efficiency index, reliability index, endto-end time including modal interchanges index Traveler satisfaction index, decision quality information index, behavior change index Number of analytics in use, value of services managed by analytics, money saved through efficiencies gained by analytics Percentage of automated vehicles within the entire citywide fleet, percentage of automated vehicles in use by city agencies and private fleets, proportion of deliveries made by automated vehicles, proportion of passengers carried by automated transit Average cost of urban delivery, average time for end-to-end delivery, freight and logistics user satisfaction index, freight management satisfaction index 12 Citywide mobility index, user satisfaction index, transportation service delivery reliability index

13 Getting What You Want Difference between reporting and analytics The importance of Use Cases Getting started, developing a roadmap, Defining the future vision Building bridges Between data science and transportation Between departments Between agencies and partners Using data as the glue Defining needs, issues, problems and objectives Reporting Analytics Questions predefined Focus on knowing Different questions can be defined Focus is on improving organizational performance by analytics applied to management Reporting makes you a well informed spectator The right analytics can make you the coach with the ability to change the performance of the team 13

14 Focus on Operations Opportunities and challenges Illustrating the value of analytics in operations through Use Cases Match supply and demand Explore alternatives Understand effects Develop results-driven investment programs Define projects Select technology Estimate cost Develop design concepts Develop detailed design Project management Project delivery Testing Commissioning Partnership management Monitor status Collect data Develop information Build intelligence Define strategies Implement strategies Develop maintenance policies Monitor device status Identify intervention points Assess device performance Plan Design Build Operate Maintain 14

15 Importance of Operations Operations as a significant data generator SANDAG 1 TB per day Assumed 200 days per year operation 200 TB per annum Connected vehicle 2 ZB per annum The impact of operations on safety, efficiency, and user experience Maintenance Operations Planning Design Project delivery Coordination of planning, design, project delivery, operations, and maintenance to deliver quality services Proportion of the data originating Planning 20% Design 10% Project delivery 5% Operations 50% Maintenance 15% Total 100% 15

16 Operations Challenges 16

17 Operations Use Case Examples Transportation Operations Use Case Catalog Version 1 1 Traffic anomaly detection and communications 2 Towing and recovery management 3 Results driven investment 4 Asset management 5 Transportation network management 6 Transportation systems management and operation impact analysis 7 Developer fee management 8 Regionwide safety analysis 9 Regionwide speed in bottleneck analysis 1 0 Mobility as a service 1 1 Connected citizens and travelers 1 2 Project tracking and coordination 17

18 Smart Data Management 18

19 Smart Data Management Smart Data Management Not So Smart Data Management

20 Smart Data Management Challenge Data, as a raw material, is perceived to be of little or no value This distorts benefit cost calculations with respect to data retention and management Consequently data is discarded The opportunity to convert data to information to insight to action is missed The misconception of little or no value of data is reinforced Opportunity to extract information from data is lost Low perception of the value of data The vicious circle Data is discarded Misconception that data is too expensive to keep 20

21 Smart Data Management Approach Data Information Insight Action Roadmap Align Create Evaluate Deploy Recommended 1 week 2-4 weeks 1 week Further work Align Document use case detail Data confirmation Assign Insight Pod team Assign Data Pod team Business client role defined Deliverable Create Load & prep data Develop analytics & models Develop early insights Iteration phases with business Finalize insights Deliverable Evaluate Final recommendations Document ROI Deployment plan Report write up Executive Presentation Deliverable Scope Document Project Plan Analysis, Models & Code Insight Report & Findings Report & Presentation 21

22 Evaluating the Effects Planning factors Cost benefit Legacy investment Policy priorities Service evolution over time, space and service quality Benefits summary Annual lifecycle benefits Lifecycle cost Benefit cost ratio Asset and maintenance management $518,357 $5,183, Connected vehicle $670,460,315 $145,547, Connected, involved citizens $86,125,000 $12,964, Integrated electronic payment $430,625,000 $36,332, Smart grid, roadway electrification and electric vehicle $4,383,242,730 $144,597, Smart land use $114,790,926 $14,360, Transportation management $354,309,126 $13,913, Traveler information $86,125,000 $16,314, Urban automation $4,025,301,631 $268,600, Urban delivery and logistics $287,477,315 $15,380, User focused mobility $502,289,815 $55,428, Direct benefit services total $10,941,265,216 $728,623, Intelligent sensor- based infrastructure $34,557,143 Low cost efficient, secure and resilient ICT $59,000,000 Urban analytics $4,380,000 Strategic business models and partnering $2,347,210 Transportation governance $2,347,210 Indirect benefit enabler services $102,631,562 Grand totals $10,941,265,216 $831,255,

23 Thank you for your Time and Attention Bob McQueen Telephone: Website: Latest book: Big data Analytics for Connected Vehicles and Smart Cities Artech House, published August 31,